[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware. https://arxiv.org/abs/1812.00332
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark
Python package built to ease deep learning on graph, on top of existing DL frameworks.
ChainerCV: a Library for Deep Learning in Computer Vision
scikit-learn: machine learning in Python
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
Intel Labs open source repository for time series anomaly detection evaluator
A medical imaging framework for Pytorch
Pytorch implementation of Hyperspherical Variational Auto-Encoders
Code for the Lovász-Softmax loss (CVPR 2018)
A Flow-based Generative Network for Speech Synthesis
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
A Pytorch implementation of "FloWaveNet: A Generative Flow for Raw Audio"
Distributed training framework for TensorFlow, Keras, and PyTorch.
pymc-learn: Practical probabilistic machine learning in Python
Deep Convolutional Generative Adversarial Networks
A collection of popular anomaly detection methods (iid/point-based and time series) including active learning for anomaly detection/discovery, description for diversity/explanation/interpretability. With a deeper analysis of incorporating label feedback with ensemble and tree-based detectors. Includes results-plots and illustrations for most approaches covered.
Learn Deep Reinforcement Learning in Depth in 60 days
Lstm variational auto-encoder API for time series anomaly detection and features extraction
Metis is a learnware platform in the field of AIOps.
A machine learning toolkit dedicated to time-series data
Tensorflow implementation of Hyperspherical Variational Auto-Encoders
Awesome Knowledge Distillation
An Integrated Experimental Platform for time series data anomaly detection.